View source on GitHub |
Layer that applies an update to the cost function based input activity.
tf.keras.layers.ActivityRegularization( l1=0.0, l2=0.0, **kwargs )
Arguments | |
---|---|
l1 | L1 regularization factor (positive float). |
l2 | L2 regularization factor (positive float). |
Arbitrary. Use the keyword argument input_shape
(tuple of integers, does not include the samples axis) when using this layer as the first layer in a model.
Same shape as input.
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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.4/api_docs/python/tf/keras/layers/ActivityRegularization